Mac Studio (2023)
Geekbench AI Score
4521
Single Precision Score
27103
Half Precision Score
27697
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | steph57 |
| Upload Date | October 20 2025 11:28 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,14 |
| Motherboard | Mac14,14 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1440
267.7 IPS |
|
|
Image Classification (HP)
|
100% |
13777
2.56 KIPS |
|
|
Image Classification (Q)
|
96% |
6847
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20095
325.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24863
403.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18535
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
105172
122.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
103871
121.7 IPS |
|
|
Object Detection (SP)
|
100% |
1804
143.1 IPS |
|
|
Object Detection (HP)
|
99% |
15943
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17911
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3731
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
35535
422.2 IPS |
|
|
Face Detection (Q)
|
100% |
46185
548.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6270
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86176
663.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
106702
833.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28229
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202344
260.1 IPS |
|
|
Style Transfer (Q)
|
96% |
191896
247.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5590
206.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42748
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48535
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2495
3.33 KIPS |
|
|
Text Classification (HP)
|
99% |
4191
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4177
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4614
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4151
71.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4376
75.6 IPS |
